Application of Multitemporal Change Detection in Radar Satellite Imagery Using REACTIV-Based Method for Geospatial...

Area of Science:

• Geospatial intelligence
• Remote sensing technology
• Satellite image analysis

Background:

• Strategic security necessitates constant monitoring of critical infrastructure like airports and aviation bases.
• Advancements in satellite Earth observation and Synthetic Aperture Radar (SAR) data processing are crucial for effective change detection.
• Existing methods require enhancement for comprehensive multitemporal analysis.

Purpose of the Study:

• To develop and implement a novel algorithm for multitemporal change detection in radar satellite imagery.
• To adapt the algorithm for imagery intelligence requirements using the Google Earth Engine platform.
• To assess the methodology's effectiveness in analyzing infrastructural changes, military activity, and impact.

Main Methods:

• Development of a new algorithm based on a modified REACTIV core for multitemporal change detection.
• Implementation of the algorithm within the Google Earth Engine environment for enhanced processing capabilities.
• Evaluation of the methodology through analysis of infrastructural changes, military activity, and impact effects.

Main Results:

• The proposed methodology enables automated detection of changes in multitemporal radar imagery series.
• The system successfully identifies and analyzes infrastructural changes and military activities.
• The method provides an additional dimension to change analysis by determining the precise time of detected changes.

Conclusions:

• The developed algorithm offers a robust solution for automated change detection in strategic security applications.
• The methodology enhances the capabilities of satellite Earth observation for intelligence gathering and situational awareness.
• This advancement supports more effective monitoring and analysis of dynamic environments using radar imagery.